Computational Life Science
Our offer provides researchers at German universities with free access to computing resources and support
Overview
NHR Computational Life Science-Support
Six NHR centers cooperate in the NHR Computational Life Science-support, which is coordinated by NHR@TUD and NHR@ZIB.
Life Science support covers a wide range of research areas, including basic research, medicinal analysis using secure computing and AI, and simulation approaches. Support for Life Sciences focuses on two main areas: simulation and data-intensive research.
Through collaboration among the centers within the NHR alliance, users benefit from a broad pool of expertise, more than any single center can provide.
The participating centers are: NHR@TUD, NHR@ZIB, NHR@Göttingen, NHR@SW, NHR@FAU and NHR4CES@RWTH.
Simulation-based applications
Coordinated by NHR@ZIB
This subgroup provides support for scientific simulation problems that are solved in areas such as biophysics, biochemistry, molecular dynamics, and structural biology, which require high computational performance. The limitations of hardware and software with respect to speed, capacity, and availability necessitate efficient resource usage.
The aim of the support is to enable HPC workloads and AI applications on NHR systems. The support team members have a strong life science research background as well as HPC experience.
Offers:
- Regular contact with users and research groups to identify needs
- Technical and scientific consulting for user projects, including software selection, workflow optimization, and efficient usage of NHR systems
- Direct user engagement to increase visibility and accessibility of NHR support
- Roadshows events to strengthen communication.
Data-intensive research
Coordinated by NHR@TUD
Support for data-intensive Life Science research includes expertise in managing processing and analyzing large-scale biological and medical datasets on HPC systems. Service includes guidance and training on specific software, optimized workflows, secure computing environments and AI-based analysis methods.
The support team members have a strong Life Science research background as well as HPC experience.
Offers:
- Regular contact with users and research groups to identify needs.
- Technical and scientific consulting for user projects, including software selection, workflow optimization, and efficient usage of NHR systems.
- Direct user engagement to increase visibility and accessibility of NHR support.
- Roadshows events to strengthen communication.
Contact: life-science@nhr-verein.de